摘要
装甲车辆测试中经常产生大量测试数据用于反映车辆设备或子系统的运行状态,传统车载测试系统在处理大容量数据时存在数据处理耗时较长和不能反映数据整体变化趋势等问题.针对上述问题,在分析传统大容量测试数据处理过程的基础上,提出Max-Min抽样、内存拷贝和多线程并行处理等改进方法.经过实际测试验证,使用改进后的方法在预处理大容量数据时耗时减少达60%以上,程序的运行效率得到极大提高,并且在显示大容量测试数据时能够准确反映数据的整体变化趋势,具有较高的实际应用价值.
In the armored vehicle test, a large number of test data is often produced to reflect the operation state of the vehicle's equipment or system. The traditional vehicle test system has a long time consuming when processing the data and can not reflect the overall trend of data when dealing with large capacity data. On the basis of analyzing the processing of traditional large capacity test data, the improvement method of test data processing method was put forward: Max-Min sampling, the memory copy method, multithreading parallel processing technology and so on. After the actual test and verification, the time of using the improved method to preprocess large capacity data is reduced by 60%, the efficiency of the the program is greatly improved, and it can reflect the overall change trend of the data accurately when display the large capacity test data, it has a high practical application value.
作者
邓泽平
崔建峰
梁志剑
刘慧丰
DENG Zeping;CUI Jianfeng;LIANG Zhijian;LIU Huifeng(Key Laboratory of Electronic Test Technology, North University of China, Taiyuan 030051, China;Beijing Special Vehicle Test Site, Beijing 100072, China)
出处
《测试技术学报》
2019年第2期126-130,共5页
Journal of Test and Measurement Technology
关键词
车载测试系统
大容量数据
内存拷贝
多线程
并行处理
vehicle test system
large capacity data
memory copy
multithreading
concurrency processing
